remote
Senior Consultant Data Engineering - QUNIS GmbH
Software Engineer
Lead complex data engineering projects across the DACH region, designing scalable pipelines and data warehouses using Python, SQL, AWS, and Spark to deliver actionable insights for enterprise clients.
About the role
Key Responsibilities
- Architect and implement end‑to‑end data pipelines on AWS, leveraging services such as S3, Redshift, Glue, and EMR.
- Develop and maintain scalable Spark jobs in Python/Scala to process large volumes of structured and semi‑structured data.
- Design data models and schemas that support business intelligence, reporting, and advanced analytics.
- Collaborate with data scientists, product owners, and stakeholders to translate business requirements into technical solutions.
- Ensure data quality, governance, and security across all data assets.
Requirements
- 5+ years of experience in data engineering or related roles.
- Proficiency in Python, SQL, and Spark.
- Hands‑on experience with AWS data services (Redshift, Glue, EMR, S3).
- Strong understanding of data modeling, ETL best practices, and data warehousing concepts.
- Excellent communication skills and ability to work independently in a remote setting.
Skills
pythonsqlawsapache spark